Triple

T11051528
Position Surface form Disambiguated ID Type / Status
Subject Bingöl Province E261264 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Zazas
The Zazas are an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zaza (Dimili) language and maintaining distinct cultural traditions.
 E901391 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zazas | Statement: [Bingöl Province, hasEthnicGroup, Zazas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zazas
Context triple: [Bingöl Province, hasEthnicGroup, Zazas]
  • A. Zabdas
    Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
  • B. Zas
    Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • C. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • D. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • E. Zwan
    Zwan was a short-lived early-2000s alternative rock supergroup formed by Smashing Pumpkins frontman Billy Corgan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zazas
Triple: [Bingöl Province, hasEthnicGroup, Zazas]
Generated description
The Zazas are an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zaza (Dimili) language and maintaining distinct cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zazas
Target entity description: The Zazas are an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zaza (Dimili) language and maintaining distinct cultural traditions.
  • A. Zabdas
    Zabdas was a prominent 3rd-century Palmyrene general who led Queen Zenobia’s forces in major campaigns against the Roman Empire.
  • B. Zas
    Zas is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • C. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • D. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • E. Zwan
    Zwan was a short-lived early-2000s alternative rock supergroup formed by Smashing Pumpkins frontman Billy Corgan.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798698bd88190aa97afd37f55e19f completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b20f20bc8190a848c6fca8e2427f completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.